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Heterogeneous Computing with OpenCL 1 Benedict Gaster Lee Howes David R Kaeli Perhaad Mistry Dana Schaa eBook PDF-Viewer XHQ

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  • Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fusion technology. Designed to work on multiple platforms and with wide industry support, OpenCL will help you more effectively program for a heterogeneous future.

    Written by leaders in the parallel computing and OpenCL communities, this book will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. The authors explore memory spaces, optimization techniques, graphics interoperability, extensions, and debugging and profiling. Intended to support a parallel programming course, Heterogeneous Computing with OpenCL includes detailed examples throughout, plus additional online exercises and other supporting materials.

    • Explains principles and strategies to learn parallel programming with OpenCL, from understanding the four abstraction models to thoroughly testing and debugging complete applications.
    • Covers image processing, web plugins, particle simulations, video editing, performance optimization, and more.
    • Shows how OpenCL maps to an example target architecture and explains some of the tradeoffs associated with mapping to various architectures
    • Addresses a range of fundamental programming techniques, with multiple examples and case studies that demonstrate OpenCL extensions for a variety of hardware platforms

    ebook,Benedict Gaster, Lee Howes, David R. Kaeli, Perhaad Mistry, Dana Schaa,Heterogeneous Computing with OpenCL,Morgan Kaufmann,General,APU;Architectures;Browser extension;C++;cache;concurrency;Consistency;Convolution;CPU;debug;design;DMA;Double;event list chaining;example program;execution;extensions;fission;gDEBugger;GPU;Grain of computation;histogram;HTML5;image;image processing;introduction;JavaScript;KernelAnalyzer;local;many-core;matrix multiplication;memory;memory-bound;multi-core;OpenCL;OpenGL,APU;Architectures;Browser extension;C++;cache;concurrency;Consistency;Convolution;CPU;debug;design;DMA;Double;event list chaining;example program;execution;extensions;fission;gDEBugger;GPU;Grain of computation;histogram;HTML5;image;image processing;introduction;JavaScript;KernelAnalyzer;local;many-core;matrix multiplication;memory;memory-bound;multi-core;OpenCL;OpenGL/OpenCL interrop;optimization;parallel programming models;particle simulation;performance;performance analysis;performance counter,COMPUTER,COMPUTER SCIENCE (SPECIFIC ASPECTS),COMPUTERS,COMPUTERS / Computer Architecture,COMPUTERS / General,COMPUTERS / Programming / General,COMPUTERS / Software Development Engineering / General,Computer Applications,Computer Architecture,Computer Books General,Computer Organization and Architecture,Computer/General,Computers - General Information,Computers / Computer Science,Computers / Systems Architecture / General,Computers Programming - General,Computers Software Development Engineering - General,Computing Security,Computing information technology,General,How-to/Do-it-yourself,Non-Fiction,OpenCL (Computer program language),OpenCL (Computer program language).,OpenCL interrop;optimization;parallel programming models;particle simulation;performance;performance analysis;performance counter,Parallel programming (Computer science),Parallel programming (Computer science).,Programming,Programming - General,Scholarly/Undergraduate,Software Development Engineering,Software Development Engineering - General,Systems Architecture - General,United States,COMPUTERS / Computer Architecture,COMPUTERS / General,COMPUTERS / Programming / General,COMPUTERS / Software Development Engineering / General,Computers / Computer Science,Computers / Systems Architecture / General,Computers Programming - General,Computers Software Development Engineering - General,Programming - General,Software Development Engineering - General,Systems Architecture - General,Computers - General Information,Computer Science (Specific Aspects),Computers,Computer Books General,Computing information technology

    Heterogeneous Computing with OpenCL 1 Benedict Gaster Lee Howes David R Kaeli Perhaad Mistry Dana Schaa eBook Reviews :



    Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fusion technology. Designed to work on multiple platforms and with wide industry support, OpenCL will help you more effectively program for a heterogeneous future.

    Written by leaders in the parallel computing and OpenCL communities, this book will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. The authors explore memory spaces, optimization techniques, graphics interoperability, extensions, and debugging and profiling. Intended to support a parallel programming course, Heterogeneous Computing with OpenCL includes detailed examples throughout, plus additional online exercises and other supporting materials.

    • Explains principles and strategies to learn parallel programming with OpenCL, from understanding the four abstraction models to thoroughly testing and debugging complete applications.
    • Covers image processing, web plugins, particle simulations, video editing, performance optimization, and more.
    • Shows how OpenCL maps to an example target architecture and explains some of the tradeoffs associated with mapping to various architectures
    • Addresses a range of fundamental programming techniques, with multiple examples and case studies that demonstrate OpenCL extensions for a variety of hardware platforms

    ebook,Benedict Gaster, Lee Howes, David R. Kaeli, Perhaad Mistry, Dana Schaa,Heterogeneous Computing with OpenCL,Morgan Kaufmann,General,APU;Architectures;Browser extension;C++;cache;concurrency;Consistency;Convolution;CPU;debug;design;DMA;Double;event list chaining;example program;execution;extensions;fission;gDEBugger;GPU;Grain of computation;histogram;HTML5;image;image processing;introduction;JavaScript;KernelAnalyzer;local;many-core;matrix multiplication;memory;memory-bound;multi-core;OpenCL;OpenGL,APU;Architectures;Browser extension;C++;cache;concurrency;Consistency;Convolution;CPU;debug;design;DMA;Double;event list chaining;example program;execution;extensions;fission;gDEBugger;GPU;Grain of computation;histogram;HTML5;image;image processing;introduction;JavaScript;KernelAnalyzer;local;many-core;matrix multiplication;memory;memory-bound;multi-core;OpenCL;OpenGL/OpenCL interrop;optimization;parallel programming models;particle simulation;performance;performance analysis;performance counter,COMPUTER,COMPUTER SCIENCE (SPECIFIC ASPECTS),COMPUTERS,COMPUTERS / Computer Architecture,COMPUTERS / General,COMPUTERS / Programming / General,COMPUTERS / Software Development Engineering / General,Computer Applications,Computer Architecture,Computer Books General,Computer Organization and Architecture,Computer/General,Computers - General Information,Computers / Computer Science,Computers / Systems Architecture / General,Computers Programming - General,Computers Software Development Engineering - General,Computing Security,Computing information technology,General,How-to/Do-it-yourself,Non-Fiction,OpenCL (Computer program language),OpenCL (Computer program language).,OpenCL interrop;optimization;parallel programming models;particle simulation;performance;performance analysis;performance counter,Parallel programming (Computer science),Parallel programming (Computer science).,Programming,Programming - General,Scholarly/Undergraduate,Software Development Engineering,Software Development Engineering - General,Systems Architecture - General,United States,COMPUTERS / Computer Architecture,COMPUTERS / General,COMPUTERS / Programming / General,COMPUTERS / Software Development Engineering / General,Computers / Computer Science,Computers / Systems Architecture / General,Computers Programming - General,Computers Software Development Engineering - General,Programming - General,Software Development Engineering - General,Systems Architecture - General,Computers - General Information,Computer Science (Specific Aspects),Computers,Computer Books General,Computing information technology

    Heterogeneous Computing with OpenCL - edition by Benedict Gaster, Lee Howes, David R. Kaeli, Perhaad Mistry, Dana Schaa. Download it once and read it on your device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Heterogeneous Computing with OpenCL.


     

    Product details

    • File Size 4681 KB
    • Print Length 295 pages
    • Publisher Morgan Kaufmann; 1 edition (September 30, 2011)
    • Publication Date September 30, 2011
    • Sold by  Services LLC
    • Language English
    • ASIN B005JRHYUS
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